Evaluation of pyrazolopyrimidine derivatives as microtubule affinity regulating kinase 4 inhibitors: Towards therapeutic management of Alzheimer’s disease

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Naqvi, Ahmad Abu Turab;Deeba Shamim Jairajpuri;Noman, Omar Mohammed Ali;Hussain, Afzal;Asimul Islam;Faizan Ahmad;Alajmi, Mohammed F.;Md. Imtaiyaz Hassan

Description

Microtubule affinity regulating kinase 4 (MARK4) plays essential role in the tau-assisted regulation of microtubule dynamics. Over expression of MARK4 causes early phosphorylation of Ser262 of tau protein which is essential for microtubule binding. Hyperphosphorylation of tau protein causes the formation of paired helical fragments and neurofibrillary tangles, the hallmarks of Alzheimer’s disease. Targeting the modulation of MARK4 activity is an effective strategy for therapeutic intervention of Alzheimer’s and other MARK4 associated neurodegenerative diseases. Having role of pyrazolopyrimidine derivatives in the therapeutic management of neurodegenerative diseases, we have tried to estimate their binding affinity with the MARK4. We performed in silico screening of 59 pyrazolopyrimidine derivatives against MARK4 and obtained a few best possible inhibitors. Molecular docking-based interaction analysis suggested five potential leads that were further analyzed using molecular dynamics simulations, MM/PBSA, principal component analysis and graph theory based dynamic network analysis to observe structural changes caused due to ligand binding. All these computational analyses suggested that compounds with PubChem IDs: 91895678, 91895679, 91895692, 91145515 and 90794095 may be further exploited to address Alzheimer’s and other neurodegenerative diseases. Communicated by Ramaswamy H. Sarma

Citations (3)

Mentions (0)

Metrics

Dataset Index

1.4

FAIR Score

85%

Citations

3

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Taylor & Francis

Assigned Domain

Subfield

Molecular Biology

Field

Biochemistry, Genetics and Molecular Biology

Domain

Life Sciences

Confidence Score

51%

Source

Scholar Data Model

Keywords

BiophysicsBiochemistryCell BiologyGeneticsFOS: Biological sciencesMolecular BiologyNeurosciencePharmacology39999 Chemical Sciences not elsewhere classifiedFOS: Chemical sciences69999 Biological Sciences not elsewhere classified80699 Information Systems not elsewhere classifiedFOS: Computer and information sciencesCancer

Normalization Factors

FT

30.77

CTw

1.00

MTw

1.00